IS = { zkontrolovano 29 Jan 2010 },
  UPDATE  = { 2009-10-15 },
  author =     {Bujnak, Martin and Kukelova, Zuzana and Pajdla, Tomas},
  title =      {3D reconstruction from image collections with a single known focal length},
  year =       {2009},
  pages =      {351-358},
  booktitle =  {2009 IEEE 12th International Conference on Computer Vision},
  publisher =  {IEEE Computer Society},
  address   =  {Piscataway, USA},
  isbn =       {978-1-4244-4419-9},
  issn =       {1550-5499},
  book_pages = {2235},
  month =      {September-October},
  day =        {27-4},
  venue =      {Kyoto, Japan},
  organization = {IEEE Computer Society},
  prestige =   {international},
  annote = {In this paper we aim at reconstructing 3D scenes from
    images with unknown focal lengths downloaded from photosharing
    websites such as Flickr. First we provide a minimal solution to
    finding the relative pose between a completely calibrated camera
    and a camera with an unknown focal length given six point
    correspondences. We show that this problem has up to nine
    solutions in general and present two efficient solvers to the
    problem. They are based on Groebner basis, resp. on generalized
    eigenvalues, computation. We demonstrate by experiments with
    synthetic and real data that both solvers are correct, fast,
    numerically stable and work well even in some situations when the
    classical 6-point algorithm fails, e.g. when optical axes of the
    cameras are parallel or intersecting. Based on this solution we
    present a new efficient method for large-scale structure from
    motion from unordered data sets downloaded from the Internet. We
    show that this method can be effectively used to reconstruct 3D
    scenes from collection of images with very few (in principle
    single) images with known focal lengths.},
  keywords =    {3D reconstruction, minimal problem, epipolar geometry},
  project =     {FP7-SPACE-218814 PRoVisG, MSM6840770038},
  ut_isi =      {000294955300232},